Senior Applied Machine Learning Engineer - VLSI Design at NVIDIA

You're a seasoned candidate with an MS/PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics, bringing at least 4 years of experience in circuit design, VLSI, ASIC, EDA, or Silicon analysis, and a strong coding ability in Python and C++. **What makes it worth a look...** This hybrid role at NVIDIA in Santa Clara, US, offers a compelling annual salary range of $152,000 to $264,500, plus potential equity and benefits, for work involving the optimization of VLSI circuits and hardware design using machine learning. **You might be a good fit if you...** * Have applied experience with ML/DL algorithms and frameworks like TensorFlow, PyTorch, or Spark. * Can translate requirements into data science problems and architect ML solutions. * Are skilled in analyzing datasets, validating hypotheses, and building predictive models.